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Field
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Molecular Genetics. Candidates with interests spanning statistical genetics, neuroimaging data analysis and developmental neuroscience, and the study of etiological heterogeneity in the developmental
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse
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, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in the areas of Parkinson’s disease
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-fidelity finite element models to investigate surface wave propagation in soft biological tissues, forming the foundation for subsequent statistical and machine learning frameworks that integrate
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in collaboration with clinical research teams. Education Requirement: Requires the practical or academic knowledge of clinical ophthalmology, AI, image analysis, and statistics plus the ability
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in applied
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/quality control procedures for soil fertility and soil health testing. Compile, manage, and analyze multi-site, multi-year datasets; conduct appropriate statistical analyses and contribute to data-driven
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receptor subunits and dopamine receptors in the striatum and substantia nigra by Western blot. Statistical analysis and representation of data using Excel and GraphPad Prism softwares. Preparation of results
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the PhD Students: - Decide the experimental design for the validation of the developed models to authenticate pistachios, and collaborate in recruiting new samples - Perform the analytical